{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 16605
        },
        "collapsed": true,
        "id": "klT7ESRDwTrW",
        "outputId": "68f4f015-0a54-4b5b-db17-8ad9ffe66d4b"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 0%\r\rReading package lists... 0%\r\rReading package lists... 0%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 3%\r\rReading package lists... 3%\r\rReading package lists... 3%\r\rReading package lists... 3%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 18%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 31%\r\rReading package lists... 31%\r\rReading package lists... 32%\r\rReading package lists... 32%\r\rReading package lists... 35%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 40%\r\rReading package lists... 40%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 50%\r\rReading package lists... 53%\r\rReading package lists... 53%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 56%\r\rReading package lists... 56%\r\rReading package lists... 56%\r\rReading package lists... 56%\r\rReading package lists... 56%\r\rReading package lists... 56%\r\rReading package lists... 56%\r\rReading package lists... 56%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 63%\r\rReading package lists... 63%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 67%\r\rReading package lists... 76%\r\rReading package lists... 76%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 78%\r\rReading package lists... 78%\r\rReading package lists... 79%\r\rReading package lists... 79%\r\rReading package lists... 79%\r\rReading package lists... 79%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 83%\r\rReading package lists... 83%\r\rReading package lists... 83%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rReading package lists... 95%\r\rReading package lists... 95%\r\rReading package lists... 99%\r\rReading package lists... 99%\r\rReading package lists... 99%\r\rReading package lists... 99%\r\rReading package lists... 99%\r\rReading package lists... 99%\r\rReading package lists... 99%\r\rReading package lists... 99%\r\rReading package lists... 99%\r\rReading package lists... 99%\r\rReading package lists... Done\r\n",
            "\rBuilding dependency tree... 0%\r\rBuilding dependency tree... 0%\r\rBuilding dependency tree... 0%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rBuilding dependency tree... 50%\r\rBuilding dependency tree... 50%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rBuilding dependency tree... 82%\r"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\rBuilding dependency tree... Done\r\n",
            "\rReading state information... 0% \r\rReading state information... 0%\r\rReading state information... Done\r\n",
            "fonts-noto-cjk is already the newest version (1:20220127+repack1-1).\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0 upgraded, 0 newly installed, 0 to remove and 41 not upgraded.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Optimal model coherence score: 0.4608314303862553\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 1400x1000 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        }
      ],
      "source": [
        "\"\"\"\n",
        "Replication instructions (summary)\n",
        "- See README.txt in the Dataverse dataset for full details.\n",
        "- Key steps: corpus loading, preprocessing, LDA estimation, monthly topic trends, permutation test.\n",
        "\"\"\"\n",
        "\n",
        "import pandas as pd\n",
        "import re\n",
        "import requests\n",
        "import gzip\n",
        "import os\n",
        "import shutil\n",
        "import sqlite3\n",
        "from collections import defaultdict\n",
        "import MeCab\n",
        "import unidic_lite\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from gensim import corpora, models\n",
        "import pyLDAvis.gensim_models as gensimvis\n",
        "import pyLDAvis\n",
        "import matplotlib.dates as mdates\n",
        "import matplotlib.font_manager as fm\n",
        "\n",
        "# Install and load Noto Sans CJK JP font\n",
        "!apt-get -y install fonts-noto-cjk\n",
        "font_path = '/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc'\n",
        "prop = fm.FontProperties(fname=font_path)\n",
        "\n",
        "# Configure Matplotlib and Seaborn to use the Japanese font\n",
        "plt.rcParams['font.family'] = prop.get_name()\n",
        "sns.set(style=\"whitegrid\")\n",
        "\n",
        "# Stopword set\n",
        "stopwords_set = set()\n",
        "\n",
        "# Load additional stopwords from stopwords.csv\n",
        "stopwords_csv_path = '/content/stopwords.csv'\n",
        "stopwords_df = pd.read_csv(stopwords_csv_path, encoding='utf-8-sig', header=None)\n",
        "stopwords_set.update(stopwords_df[0].tolist())\n",
        "\n",
        "# Initialize MeCab\n",
        "mecab = MeCab.Tagger()\n",
        "mecab.parse('')\n",
        "\n",
        "# Download and decompress the Japanese WordNet database\n",
        "db_url = \"https://github.com/bond-lab/wnja/releases/download/v1.1/wnjpn.db.gz\"\n",
        "db_gz_path = 'wnjpn.db.gz'\n",
        "db_path = 'wnjpn.db'\n",
        "\n",
        "if not os.path.exists(db_path):\n",
        "    r = requests.get(db_url)\n",
        "    with open(db_gz_path, 'wb') as f:\n",
        "        f.write(r.content)\n",
        "\n",
        "    with gzip.open(db_gz_path, 'rb') as f_in:\n",
        "        with open(db_path, 'wb') as f_out:\n",
        "            shutil.copyfileobj(f_in, f_out)\n",
        "\n",
        "# Connect to the database\n",
        "conn = sqlite3.connect(db_path)\n",
        "q = 'SELECT synset, lemma FROM sense, word USING (wordid) WHERE sense.lang=\"jpn\"'\n",
        "sense_word = pd.read_sql(q, conn)\n",
        "\n",
        "# Build a lemma → synset mapping\n",
        "synonyms_dict = defaultdict(list)\n",
        "for row in sense_word.itertuples():\n",
        "    synonyms_dict[row.lemma].append(row.synset)\n",
        "\n",
        "# Build a reverse synset → lemmas mapping\n",
        "synset_to_lemmas = defaultdict(set)\n",
        "for lemma, synsets in synonyms_dict.items():\n",
        "    for synset in synsets:\n",
        "        synset_to_lemmas[synset].add(lemma)\n",
        "\n",
        "# Function to query synonyms\n",
        "def get_synonyms(word):\n",
        "    synsets = synonyms_dict.get(word, [])\n",
        "    synonyms = set()\n",
        "    for synset in synsets:\n",
        "        synonyms.update(synset_to_lemmas[synset])\n",
        "    if word in synonyms:\n",
        "        synonyms.remove(word)\n",
        "    return list(synonyms)\n",
        "\n",
        "# Precompute one representative synonym per word (if available)\n",
        "word_to_synonyms = {word: sorted(get_synonyms(word))[0] for word in synonyms_dict if get_synonyms(word)}\n",
        "\n",
        "# Tokenization and normalization function\n",
        "def tokenize_and_normalize(text):\n",
        "    if not isinstance(text, str):\n",
        "        return []\n",
        "    try:\n",
        "        node = mecab.parseToNode(text)\n",
        "    except TypeError:\n",
        "        return []\n",
        "    words = []\n",
        "    while node:\n",
        "        feature = node.feature.split(',')\n",
        "        surface = node.surface\n",
        "        base_form = feature[7] if len(feature) > 7 and feature[7] != '*' else surface\n",
        "        pos = feature[0]\n",
        "\n",
        "        # Replace with precomputed synonym if available\n",
        "        base_form = word_to_synonyms.get(base_form, base_form)\n",
        "\n",
        "        # Exclude stopwords; keep only nouns/verbs/adjectives/adverbs; exclude numbers and punctuation\n",
        "        if base_form not in stopwords_set and pos in {'名詞', '動詞', '形容詞', '副詞'} and \\\n",
        "                not re.match(r'^[0-9０-９]+$', base_form) and not re.match(r'^[\\W_]+$', base_form):\n",
        "            words.append(base_form)\n",
        "\n",
        "        node = node.next\n",
        "    return words\n",
        "\n",
        "# Load data\n",
        "data = pd.read_csv('/content/output_with_date_u.csv')\n",
        "\n",
        "# Ensure the date column is of datetime type\n",
        "data['date'] = pd.to_datetime(data['date'])\n",
        "\n",
        "# Apply tokenization and normalization\n",
        "data['tokens'] = data['text'].apply(tokenize_and_normalize)\n",
        "\n",
        "# Create dictionary and corpus\n",
        "dictionary = corpora.Dictionary(data['tokens'])\n",
        "corpus = [dictionary.doc2bow(tokens) for tokens in data['tokens']]\n",
        "\n",
        "# Set the optimal number of topics\n",
        "optimal_num_topics = 4  \n",
        "\n",
        "#See uploaded \"FPA_Replication_Instructions\" for details. \n",
        "#In this study, we employed Latent Dirichlet Allocation (LDA) as the topic modeling method. \n",
        "#LDA is a probabilistic model whose parameter estimation relies on random initialization and iterative optimization.\n",
        "#As a consequence, even when using the same data and the same hyperparameters, repeated runs of the model may produce slightly different numerical results. \n",
        "#These differences are an inherent property of LDA as a stochastic model and do not affect the substantive conclusions of the analysis. \n",
        "#To reduce randomness as much as possible, we have implemented corresponding measures in our code.\n",
        "\n",
        "# Train the LDA model with the chosen number of topics\n",
        "optimal_model = models.LdaModel(corpus=corpus, id2word=dictionary, num_topics=optimal_num_topics, passes=15)\n",
        "\n",
        "# Compute the coherence score of the model\n",
        "coherencemodel = models.CoherenceModel(model=optimal_model, texts=data['tokens'], dictionary=dictionary, coherence='c_v')\n",
        "optimal_coherence_score = coherencemodel.get_coherence()\n",
        "print(f\"Optimal model coherence score: {optimal_coherence_score}\")\n",
        "\n",
        "# Visualize topics and save as an HTML file; the resulting HTML file is also included in the Dataverse replication dataset\n",
        "lda_vis = gensimvis.prepare(optimal_model, corpus, dictionary)\n",
        "pyLDAvis.save_html(lda_vis, f'/content/lda_vis_{optimal_num_topics}topics_modified.html')\n",
        "\n",
        "# Compute topic distribution for each document\n",
        "doc_topics = optimal_model.get_document_topics(corpus, minimum_probability=0)\n",
        "\n",
        "# Convert dates to month periods\n",
        "data['month'] = data['date'].dt.to_period('M')\n",
        "\n",
        "# Compute the average topic distribution for each month\n",
        "month_topic_distribution = pd.DataFrame(columns=[f'Topic {i+1}' for i in range(optimal_num_topics)], index=data['month'].unique())\n",
        "\n",
        "for month, group in data.groupby('month'):\n",
        "    monthly_corpus = [corpus[i] for i in group.index]\n",
        "    monthly_topic_dist = [dict(optimal_model.get_document_topics(doc)) for doc in monthly_corpus]\n",
        "    monthly_topic_dist_df = pd.DataFrame(monthly_topic_dist).fillna(0)\n",
        "    month_topic_distribution.loc[month] = monthly_topic_dist_df.mean(axis=0).values\n",
        "\n",
        "# Convert the index to timestamps for Matplotlib\n",
        "month_topic_distribution.index = month_topic_distribution.index.to_timestamp()\n",
        "\n",
        "# Plot topic distribution over time\n",
        "plt.figure(figsize=(14, 10))\n",
        "sns.set_palette(\"tab10\")\n",
        "for topic in month_topic_distribution.columns:\n",
        "    plt.plot(month_topic_distribution.index, month_topic_distribution[topic], label=topic, linewidth=2)\n",
        "\n",
        "plt.xlabel('Month', fontsize=14)\n",
        "plt.ylabel('Average Topic Distribution', fontsize=14)\n",
        "plt.title('Topic Distribution Over Time', fontsize=16)\n",
        "plt.legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize=12)\n",
        "plt.grid(True)\n",
        "\n",
        "# Rotate x-axis labels\n",
        "plt.xticks(rotation=45, fontsize=12)\n",
        "plt.yticks(fontsize=12)\n",
        "# Show a tick every month\n",
        "plt.gca().xaxis.set_major_locator(mdates.MonthLocator(interval=1))\n",
        "# Set date format for x-axis\n",
        "plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "A0M-ktUiXrHu",
        "outputId": "0a8db47d-7217-40d3-c869-8aa53216fd8b"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "from scipy import stats"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 3208
        },
        "id": "ko8XwEUsXtEa",
        "outputId": "8fba75bf-ee5a-442b-d30e-19b7c66e49bd"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Observed correlation: -0.7087\n",
            "P-value: 0.0021\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n",
            "/usr/local/lib/python3.12/dist-packages/jupyter_client/session.py:203: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).\n",
            "  return datetime.utcnow().replace(tzinfo=utc)\n"
          ]
        }
      ],
      "source": [
        "# ===============================\n",
        "# Permutation test\n",
        "# ===============================\n",
        "\n",
        "# Compute the Pearson correlation between two topic series\n",
        "def calculate_correlation(topic1, topic4):\n",
        "    topic1 = np.asarray(topic1, dtype=float)\n",
        "    topic4 = np.asarray(topic4, dtype=float)\n",
        "    return stats.pearsonr(topic1, topic4)[0]\n",
        "\n",
        "# Perform permutation test\n",
        "def permutation_test(topic1, topic4, n_permutations=10000):\n",
        "    observed_correlation = calculate_correlation(topic1, topic4)\n",
        "\n",
        "    # Store permuted correlation coefficients\n",
        "    permuted_correlations = []\n",
        "\n",
        "    for _ in range(n_permutations):\n",
        "        permuted_topic4 = np.random.permutation(topic4)\n",
        "        permuted_correlation = calculate_correlation(topic1, permuted_topic4)\n",
        "        permuted_correlations.append(permuted_correlation)\n",
        "\n",
        "    # Compute two-sided p-value:\n",
        "    # proportion of permuted correlations whose absolute value\n",
        "    # is greater than or equal to the absolute observed correlation\n",
        "    permuted_correlations = np.asarray(permuted_correlations)\n",
        "    p_value = np.mean(np.abs(permuted_correlations) >= np.abs(observed_correlation))\n",
        "\n",
        "    return observed_correlation, p_value, permuted_correlations\n",
        "\n",
        "# Extract the time series of Topic 1 and Topic 4 from month_topic_distribution\n",
        "topic1 = month_topic_distribution['Topic 1']\n",
        "topic4 = month_topic_distribution['Topic 4']\n",
        "\n",
        "# Run permutation test\n",
        "observed_corr, p_value, permuted_correlations = permutation_test(topic1, topic4)\n",
        "\n",
        "print(f\"Observed correlation: {observed_corr:.4f}\")\n",
        "print(f\"P-value: {p_value:.4f}\")\n",
        "\n",
        "# Visualize the permutation test results\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.histplot(permuted_correlations, kde=True)\n",
        "plt.axvline(observed_corr, color='r', linestyle='--', label='Observed correlation')\n",
        "plt.xlabel('Correlation')\n",
        "plt.ylabel('Frequency')\n",
        "plt.title('Permutation Test Results (Topic 1 vs Topic 4)')\n",
        "plt.legend()\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
